Department of Human Genetics, Leiden University Medical Center, ZC Leiden, Zuid-Holland, The Netherlands.
Leiden Computational Biology Center, Leiden University Medical Center, ZC Leiden, Zuid-Holland, The Netherlands.
Hum Mol Genet. 2019 Apr 1;28(7):1064-1075. doi: 10.1093/hmg/ddy400.
Facioscapulohumeral muscular dystrophy (FSHD) is characterized by sporadic de-repression of the transcription factor DUX4 in skeletal muscle. DUX4 activates a cascade of muscle disrupting events, eventually leading to muscle atrophy and apoptosis. Yet, how sporadic DUX4 expression leads to the generalized muscle wasting remains unclear. Transcriptome analyses have systematically been challenged by the majority of nuclei being DUX4neg, weakening the DUX4 transcriptome signature. Moreover, DUX4 has been shown to be expressed in a highly dynamic burst-like manner, likely resulting in the detection of the downstream cascade of events long after DUX4 expression itself has faded. Identifying the FSHD transcriptome in individual cells and unraveling the cascade of events leading to FSHD development may therefore provide important insights in the disease process. We employed single-cell RNA sequencing, combined with pseudotime trajectory modeling, to study FSHD disease etiology and cellular progression in human primary myocytes. We identified a small FSHD-specific cell population in all tested patient-derived cultures and detected new genes associated with DUX4 de-repression. We furthermore generated an FSHD cellular progression model, reflecting both the early burst-like DUX4 expression as well as the downstream activation of various FSHD-associated pathways, which allowed us to correlate DUX4 expression signature dynamics with that of regulatory complexes, thereby facilitating the prioritization of epigenetic targets for DUX4 silencing. Single-cell transcriptomics combined with pseudotime modeling thus holds valuable information on FSHD disease etiology and progression that can potentially guide biomarker and target selection for therapy.
面肩肱型肌营养不良症(FSHD)的特征是骨骼肌中转录因子 DUX4 的散发性去抑制。DUX4 激活了一系列破坏肌肉的事件,最终导致肌肉萎缩和细胞凋亡。然而,散发性 DUX4 表达如何导致广泛的肌肉消耗仍不清楚。大多数细胞核都是 DUX4 阴性,这使得转录组分析受到了极大的挑战,削弱了 DUX4 转录组特征。此外,已经表明 DUX4 以高度动态爆发的方式表达,这可能导致在 DUX4 表达本身消失很久之后才检测到下游事件级联。因此,在单个细胞中鉴定 FSHD 转录组并揭示导致 FSHD 发展的级联事件,可能为疾病过程提供重要的见解。我们采用单细胞 RNA 测序,结合拟时轨迹建模,研究了人类原代肌细胞中的 FSHD 疾病病因和细胞进展。我们在所有测试的患者衍生培养物中都鉴定出了一小部分 FSHD 特异性细胞群,并检测到了与 DUX4 去抑制相关的新基因。我们还生成了一个 FSHD 细胞进展模型,反映了早期爆发样 DUX4 表达以及各种 FSHD 相关途径的下游激活,这使我们能够将 DUX4 表达特征动力学与调控复合物进行关联,从而有助于为 DUX4 沉默确定表观遗传靶点。因此,单细胞转录组学结合拟时建模为 FSHD 疾病病因和进展提供了有价值的信息,有可能指导治疗的生物标志物和靶点选择。